Pangolin: an efficient and flexible graph mining system on CPU and GPU von Chen, Xuhao, Dathathri, Roshan, Gill, Gurbinder, Pingali, Keshav

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Single machine graph analytics on massive datasets using Intel optane DC persistent memory von Gill, Gurbinder, Dathathri, Roshan, Hoang, Loc, Peri, Ramesh, Pingali, Keshav

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CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics von Hoang, Loc, Dathathri, Roshan, Gill, Gurbinder, Pingali, Keshav

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A study of partitioning policies for graph analytics on large-scale distributed platforms von Gill, Gurbinder, Dathathri, Roshan, Hoang, Loc, Pingali, Keshav

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Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory von Dathathri, Roshan, Mullapudi, Ravi Teja, Bondhugula, Uday

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Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms von Gill, Gurbinder, Dathathri, Roshan, Hoang, Loc, Lenharth, Andrew, Pingali, Keshav

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Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining von Chen, Xuhao, Dathathri, Roshan, Gill, Gurbinder, Hoang, Loc, Pingali, Keshav

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Pangolin: An Efficient and Flexible Graph Pattern Mining System on CPU and GPU von Chen, Xuhao, Dathathri, Roshan, Gill, Gurbinder, Pingali, Keshav

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Optimizing Graph Transformer Networks with Graph-based Techniques von Hoang, Loc, Agarwal, Udit, Gill, Gurbinder, Dathathri, Roshan, Seal, Abhik, Martin, Brian, Pingali, Keshav

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Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory von Gill, Gurbinder, Dathathri, Roshan, Hoang, Loc, Peri, Ramesh, Pingali, Keshav

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EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation von Dathathri, Roshan, Kostova, Blagovesta, Saarikivi, Olli, Dai, Wei, Laine, Kim, Musuvathi, Madanlal

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GRAPH PARTITIONING von DATHATHRI, Roshan, MARWAH, Manish

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An Adaptive Load Balancer For Graph Analytical Applications on GPUs von Jatala, Vishwesh, Hoang, Loc, Dathathri, Roshan, Gill, Gurbinder, Nandivada, V Krishna, Pingali, Keshav

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Distributed Training of Embeddings using Graph Analytics von Gill, Gurbinder, Dathathri, Roshan, Maleki, Saeed, Musuvathi, Madan, Mytkowicz, Todd, Saarikivi, Olli

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HOMOMORPHIC EVALUATION OF TENSOR PROGRAMS von LAINE, Kim, DATHATHRI, Roshan, MALEKI, Saeed, CHEN, Hao, LAUTER, Kristin E, MYTKOWICZ, Todd D, MUSUVATHI, Madanlal S, SAARIKIVI, Olli Llari

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CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs von Dathathri, Roshan, Saarikivi, Olli, Chen, Hao, Laine, Kim, Lauter, Kristin, Maleki, Saeed, Musuvathi, Madanlal, Mytkowicz, Todd

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Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining von Chen, Xuhao, Dathathri, Roshan, Gill, Gurbinder, Hoang, Loc, Pingali, Keshav

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Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics von Dathathri, Roshan, Gill, Gurbinder, Hoang, Loc, Dang, Hoang-Vu, Brooks, Alex, Dryden, Nikoli, Snir, Marc, Pingali, Keshav

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Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory von Gill, Gurbinder, Dathathri, Roshan, Hoang, Loc, Peri, Ramesh, Pingali, Keshav

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Pangolin: An Efficient and Flexible Graph Pattern Mining System on CPU and GPU von Chen, Xuhao, Dathathri, Roshan, Gill, Gurbinder, Pingali, Keshav

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